PixelTone

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About This Episode

Editing Images with Natural Language:
Photo editing can be a challenging task, and it becomes even more difficult on the small, portable screens of mobile devices that are now frequently used to capture and edit images. To address this problem we present PixelTone, a multimodal photo editing interface that combines speech and direct manipulation. We observe existing image editing practices and derive a set of principles that guide our design. In particular, we use natural language for expressing desired changes to an image, and sketching to localize these changes to specific regions. To support the language commonly used in photoediting we develop a customized natural language interpreter that maps user phrases to specific image processing operations. Finally, we perform a user study that evaluates and demonstrates the effectiveness of our interface.

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We're taking a completely fresh look at how marketers can share and understand data about their businesses and campaigns, and better collaborate with creative professionals. We have been pursuing this under the name "Project Tartan", and it will be a whole new user experience for Adobe Marketing Cloud. We've designed it mobile-first, hosted in the cloud, and with social throughout -- this is a great example of the new generation of software coming from teams at Adobe.

Editing Images with Natural Language:
Photo editing can be a challenging task, and it becomes even more difficult on the small, portable screens of mobile devices that are now frequently used to capture and edit images. To address this problem we present PixelTone, a multimodal photo editing interface that combines speech and direct manipulation. We observe existing image editing practices and derive a set of principles that guide our design. In particular, we use natural language for expressing desired changes to an image, and sketching to localize these changes to specific regions. To support the language commonly used in photoediting we develop a customized natural language interpreter that maps user phrases to specific image processing operations. Finally, we perform a user study that evaluates and demonstrates the effectiveness of our interface.

We're taking a completely fresh look at how marketers can share and understand data about their businesses and campaigns, and better collaborate with creative professionals. We have been pursuing this under the name "Project Tartan", and it will be a whole new user experience for Adobe Marketing Cloud. We've designed it mobile-first, hosted in the cloud, and with social throughout -- this is a great example of the new generation of software coming from teams at Adobe.

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